Description Usage Notation Author(s) References Examples
Creates response data for a simplified version of the RUM model using the Hartz Roussos Q matrix (Low)
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JJ | Number of examinees |
II | Number of items |
KK | Number of skills |
j | Examinee j |
i | Item i |
k | Skill k |
alphaK | Skill mastery population proportion vector |
alphaJK | Examinee skill mastery profile |
x | response matrix |
pi | Probability that an examinee having mastered all the Q required skills for item i will correctly apply all the skills when solving item i |
iParamsLow | Matrix of item parameters for ideal low complexity model |
rStar | Item discrimination |
kappa | Mastery threshold parameter |
Dave Rackham ddrackham@gmail.com
http://onlinelibrary.wiley.com/doi/10.1002/j.2333-8504.2008.tb02157.x/abstract
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